Showing 21-40 of 437 projects
MLX is a machine learning array framework for Apple silicon with Python, C++, and Swift APIs.
PaddlePaddle is a deep learning framework for industrial-scale ML, offering distributed training, model deployment, and Python/C++ support.
Curated list of top machine learning Python libraries, updated weekly with quality scores.
机器学习100天学习计划,涵盖有监督和无监督学习算法
ML Systems textbook and hands-on learning stack for building real-world AI systems
High-performance LLM deployment engine for cross-platform AI model execution
Workflow orchestration for resilient data pipelines in Python
AI-powered dataset management and preprocessing library for ML projects
Open standard for ML interoperability and model exchange
Curated list of open source libraries for deploying, monitoring, and scaling machine learning in production
Minimalist ML framework for Rust with GPU support
High-performance ML inferencing and training accelerator
VIP cheatsheets for Stanford's CS 229 Machine Learning course
An open-source toolkit for training intelligent agents using deep reinforcement learning and imitation learning in Unity games and simulations.
A WebGL-accelerated JavaScript library for training and deploying ML models in the browser.
Online book on neural networks and deep learning, a popular resource for AI and ML developers.
A comprehensive library for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows.
Stable Diffusion model for generating images on Apple Silicon devices using Core ML.
A repository of machine learning and NLP knowledge, providing code implementations for common concepts.
An open-source machine learning engineering reference with resources for training, deploying, and scaling AI models.
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